Skip Navigation
Skip to contents

J Korean Acad Nurs : Journal of Korean Academy of Nursing

OPEN ACCESS

Articles

Page Path
HOME > J Korean Acad Nurs > Volume 43(4); 2013 > Article
Original Article
Accessing Factor Structure and Construct Validity of the Successful Aging Inventory
Eun Joo Kim
Journal of Korean Academy of Nursing 2013;43(4):568-578.
DOI: https://doi.org/10.4040/jkan.2013.43.4.568
Published online: August 30, 2013

Department of Nursing, Daejeon University, Daejeon, Korea.

Address reprint requests to: Kim, Eun Joo. Department of Nursing, Daejeon University, 62 Daehak-ro, Dong-gu, Daejeon 300-716, Korea. Tel: +82-42-280-2656, Fax: +82-42-280-2785, ejkim@dju.kr
• Received: March 12, 2013   • Accepted: July 10, 2013

© 2013 Korean Society of Nursing Science

  • 17 Views
  • 0 Download
  • 11 Scopus
prev
  • Purpose
    The purpose of this study was to evaluate the reliability and validity of the Korean version of the Successful Aging Inventory (SAI-K) to determine its suitability for use with older Korean adults.
  • Methods
    Exploratory and confirmatory factor analyses were utilized to assess the factor structure and the construct validity of the SAI-K. First- and second-order Confirmatory Factor Analysis (CFA) were conducted to identify the most adequate model. Cronbach's alpha was used to test the reliability.
  • Results
    Using a second-order CFA, a four-factor structure was validated (χ2=122.82, p<.001, GFI=.92, AGFI=.88, SRMR=.06 RMSEA=.07, 90% CI=.05-.09, CFI=.93). The four-factor SAI-K showed reliable internal consistency with a Cronbach's alpha for the total scale of .86.
  • Conclusion
    The four-factor, 13-item SAI-K showed satisfactory reliability and validity and, thus, has the potential to be an appropriate instrument for measuring successful aging in older Korean adults.
  • 1. An JS, Chong YS, Jeong YJ, Seo SG, Cooney TM. Critical aspirations from studies of successful aging. Korean J Dev Psychol. 2011;24(3):35–54.
  • 2. Bae BR. Structural equation modeling with Amos 17.0: Principles and practice. 2nd ed. Seoul: CheongRam Books; 2009.
  • 3. Cheon JS, Byun IW, Song HR, Oh BH. Factors related to the morale of Korean elders. J Korean Geriatr Psychiatry. 2004;8(1):56–62.
  • 4. Depp CA, Jeste DV. Definitions and predictors of successful aging: A comprehensive review of larger quantitative studies. Am J Geriatr Psychiatry. 2006;14(1):6–20. http://dx.doi.org/10.1097/01.JGP.0000192501.03069.bcPubMed
  • 5. Eun Y, Sohng KY, Park OJ, Ko SH, Park MH, Kim JS, et al. Advanced clinical gerontological nursing. 2nd ed. Seoul: Hyunmoonsa; 2010.
  • 6. Field A. Discovering statistics using SPSS. 3rd ed. London, UK: Sage Publications Ltd; 2009.
  • 7. Flood M. Successful aging: A concept analysis. J Theory Constr Test. 2002;6(2):105–108.
  • 8. Flood M. A mid-range nursing theory of successful aging. J Theory Constr Test. 2005;9(2):35–39.
  • 9. Flood M, Scharer K. Creativity enhancement: Possibilities for successful aging. Issues Ment Health Nurs. 2006;27(9):939–959. http://dx.doi.org/10.1080/01612840600899832ArticlePubMed
  • 10. Grove SK, Burns N, Gray JR. The practice of nursing research: Appraisal, synthesis, and generation of evidence. 7th ed. St. Louis, MO: Elsevier Inc; 2012.
  • 11. Hair JF, Tatham RL, Anderson RE, Black W. Multivariate data analysis. 5th ed. Upper Saddle River, NJ: Prentice Hall; 1998.
  • 12. Han SS, Lee SC. Nursing and health statistical analysis. Seoul: Hannarae Publishing Co; 2012.
  • 13. Harrington D. Confirmatory factor analysis. New York, NY: Oxford University Press Inc; 2009.
  • 14. Kim DB. The study on the development of the Korean elderly's successful aging scale. Korean J Soc Welf. 2008;60(1):211–231.Article
  • 15. Kim EJ, Kim Y. Predictors of successful aging in Korean older women based on successful aging theory (SAT). Korean J Women Health Nurs. 2011;17(4):378–387. http://dx.doi.org/10.4069/kjwhn.2011.17.4.378ArticlePubMed
  • 16. Kim MH, Shin KR. The study on the development of the 'successful aging' scale for Korean elderly. J Korea Gerontol Soc. 2005;25(2):35–52.
  • 17. Kline RB. Principals and practice of structural equation modeling. New York, NY: Guilford Press; 1998.
  • 18. Lee EO, Lim NY, Park HA, Lee IS, Kim JI, Bae JY, et al. Nursing research and statistical analysis. 4th ed. Paju: Soomoonsa; 2009.
  • 19. Munro BH. Lee EH Chung Y Kim JS Song R Hwang KY . Statistical methods for health care research. 4th ed. Philadelphia, PA: Lippincott Williams & Wilkins; 2001.
  • 20. Nunnally JC, Bernstein IH. Psychometric theory. 3rd ed. New York, NY: McGraw-Hill; 1994.
  • 21. Reed PG. Self-transcendence theory. In: Smith MJ, Liehr PR, editors. Middle range theory for nursing. New York, NY: Springer Publishing Company, LLC; 2008. p. 105–130.
  • 22. Rowe JW, Kahn RL. Human aging: Usual and successful. Science. 1987;237(4811):143–149.ArticlePubMed
  • 23. Song JJ. SPSS/AMOS statistical analysis. 2nd ed. Paju: 21cbook; 2012.
  • 24. Song TM, Kim GS. Structural equation modeling for health & welfare research. Seoul: Hannarae Publishing Co; 2012.
  • 25. Troutman M, Nies MA, Small S, Bates A. The development and testing of an instrument to measure successful aging. Res Gerontol Nurs. 2011;4(3):221–232. http://dx.doi.org/10.3928/19404921-20110106-02ArticlePubMed
  • 26. Van Prooijen JW, Van der Kloot WA. Confirmatory analysis of exploratively obtained factor structures. Educ Psychol Meas. 2001;61(5):777–792. http://dx.doi.org/10.1177/00131640121971518ArticlePDF
  • 27. Yu JP. Structural equation models: Concepts and understanding. Seoul: Hannarae Publishing Co; 2012.
Figure 1
Second-order confirmatory factor analysis for the SAI-K.
jkan-43-568-g001.jpg
Table 1
General Characteristics of Participants ( N =200)
jkan-43-568-i001.jpg

*Missing responses excluded.

Table 2
SAI-K Factor Loadings from EFA and Theoretical Dimensions Represented
jkan-43-568-i002.jpg

SAI-K=Korean version of successful aging inventory; EFA=Exploratory factor analysis.

Table 3
Model Fitness Test Results
jkan-43-568-i003.jpg

CFA=Confirmatory factor analysis; CMIN/DF=Chi-square minimum/degree of freedom; GFI=Goodness of fit index; AGFI=Adjusted goodness-of-fit index; RMR=Root mean square residual; RMSEA=Root mean square error of approximation; CI=Confidence interval; NFI=Normed fit index; CFI= Comparative fit index.

Table 4
Reliability Coefficients for SAI-K
jkan-43-568-i004.jpg

SAI-K=Korean version of successful aging inventory; Ls=Life satisfaction; Cr=Creativity; Co=Coping; Tr=Transcendence.

Figure & Data

REFERENCES

    Citations

    Citations to this article as recorded by  

      • Cite
        CITE
        export Copy Download
        Close
        Download Citation
        Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

        Format:
        • RIS — For EndNote, ProCite, RefWorks, and most other reference management software
        • BibTeX — For JabRef, BibDesk, and other BibTeX-specific software
        Include:
        • Citation for the content below
        Accessing Factor Structure and Construct Validity of the Successful Aging Inventory
        J Korean Acad Nurs. 2013;43(4):568-578.   Published online August 30, 2013
        Close
      • XML DownloadXML Download
      Figure
      • 0
      We recommend
      Accessing Factor Structure and Construct Validity of the Successful Aging Inventory
      Image
      Figure 1 Second-order confirmatory factor analysis for the SAI-K.
      Accessing Factor Structure and Construct Validity of the Successful Aging Inventory

      General Characteristics of Participants ( N =200)

      *Missing responses excluded.

      SAI-K Factor Loadings from EFA and Theoretical Dimensions Represented

      SAI-K=Korean version of successful aging inventory; EFA=Exploratory factor analysis.

      Model Fitness Test Results

      CFA=Confirmatory factor analysis; CMIN/DF=Chi-square minimum/degree of freedom; GFI=Goodness of fit index; AGFI=Adjusted goodness-of-fit index; RMR=Root mean square residual; RMSEA=Root mean square error of approximation; CI=Confidence interval; NFI=Normed fit index; CFI= Comparative fit index.

      Reliability Coefficients for SAI-K

      SAI-K=Korean version of successful aging inventory; Ls=Life satisfaction; Cr=Creativity; Co=Coping; Tr=Transcendence.

      Table 1 General Characteristics of Participants ( N =200)

      *Missing responses excluded.

      Table 2 SAI-K Factor Loadings from EFA and Theoretical Dimensions Represented

      SAI-K=Korean version of successful aging inventory; EFA=Exploratory factor analysis.

      Table 3 Model Fitness Test Results

      CFA=Confirmatory factor analysis; CMIN/DF=Chi-square minimum/degree of freedom; GFI=Goodness of fit index; AGFI=Adjusted goodness-of-fit index; RMR=Root mean square residual; RMSEA=Root mean square error of approximation; CI=Confidence interval; NFI=Normed fit index; CFI= Comparative fit index.

      Table 4 Reliability Coefficients for SAI-K

      SAI-K=Korean version of successful aging inventory; Ls=Life satisfaction; Cr=Creativity; Co=Coping; Tr=Transcendence.


      J Korean Acad Nurs : Journal of Korean Academy of Nursing
      Close layer
      TOP